Jung‐Mo Ahn

3.1k total citations · 1 hit paper
63 papers, 2.1k citations indexed

About

Jung‐Mo Ahn is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Jung‐Mo Ahn has authored 63 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 13 papers in Organic Chemistry and 13 papers in Oncology. Recurrent topics in Jung‐Mo Ahn's work include Chemical Synthesis and Analysis (15 papers), Carbohydrate Chemistry and Synthesis (8 papers) and Diabetes Treatment and Management (8 papers). Jung‐Mo Ahn is often cited by papers focused on Chemical Synthesis and Analysis (15 papers), Carbohydrate Chemistry and Synthesis (8 papers) and Diabetes Treatment and Management (8 papers). Jung‐Mo Ahn collaborates with scholars based in United States, South Korea and China. Jung‐Mo Ahn's co-authors include Bikash Manandhar, Tae-Kyung Lee, Ganesh V. Raj, Kim D. Janda, Eunice Murage, Sun-Young Han, Je‐Yoel Cho, Jer‐Tsong Hsieh, Preethi Ravindranathan and Mary MacDonald and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Biomaterials.

In The Last Decade

Jung‐Mo Ahn

60 papers receiving 2.1k citations

Hit Papers

Glucagon-Like Peptide-1 and Its Class B G Protein–Coupled... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jung‐Mo Ahn United States 26 1.1k 449 326 317 259 63 2.1k
Makoto Takeuchi Japan 25 893 0.8× 303 0.7× 331 1.0× 521 1.6× 85 0.3× 106 2.7k
Jan A. A. M. Kamps Netherlands 36 1.7k 1.5× 170 0.4× 448 1.4× 104 0.3× 190 0.7× 100 3.4k
Thomas J. Brown United States 24 651 0.6× 348 0.8× 410 1.3× 192 0.6× 127 0.5× 66 2.6k
Geneviève Durand France 27 1.2k 1.1× 187 0.4× 265 0.8× 242 0.8× 127 0.5× 78 2.3k
Alberto Abbruzzese Italy 36 1.3k 1.2× 354 0.8× 352 1.1× 95 0.3× 433 1.7× 82 3.3k
John C. Voyta United States 18 1.4k 1.2× 153 0.3× 229 0.7× 128 0.4× 125 0.5× 37 2.3k
Jurgen Joossens Belgium 23 678 0.6× 136 0.3× 285 0.9× 436 1.4× 103 0.4× 58 1.9k
Brigitte Bauvois France 30 1.3k 1.1× 190 0.4× 170 0.5× 176 0.6× 192 0.7× 90 3.0k
Peter Thygesen Denmark 21 733 0.6× 501 1.1× 228 0.7× 64 0.2× 61 0.2× 54 1.9k
Koichi Kawasaki Japan 22 851 0.7× 194 0.4× 242 0.7× 261 0.8× 143 0.6× 130 1.9k

Countries citing papers authored by Jung‐Mo Ahn

Since Specialization
Citations

This map shows the geographic impact of Jung‐Mo Ahn's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jung‐Mo Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jung‐Mo Ahn more than expected).

Fields of papers citing papers by Jung‐Mo Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jung‐Mo Ahn. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jung‐Mo Ahn. The network helps show where Jung‐Mo Ahn may publish in the future.

Co-authorship network of co-authors of Jung‐Mo Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Jung‐Mo Ahn. A scholar is included among the top collaborators of Jung‐Mo Ahn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jung‐Mo Ahn. Jung‐Mo Ahn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lee, Tae-Kyung, et al.. (2024). Structure–Activity Relationship Study of Tris-Benzamides as Estrogen Receptor Coregulator Binding Modulators. ACS Pharmacology & Translational Science. 7(7). 2023–2043.
2.
Ahn, Jung‐Mo, et al.. (2023). Evaluating physiochemical properties of FDA-approved orally administered drugs. Expert Opinion on Drug Discovery. 19(2). 225–238. 6 indexed citations
3.
Hoang, David T., et al.. (2023). Measuring the Enthalpy of an Individual Hydrogen Bond in a DNA Duplex with Nucleobase Isotope Editing and Variable-Temperature Infrared Spectroscopy. The Journal of Physical Chemistry Letters. 14(18). 4313–4321. 4 indexed citations
5.
Lee, Tae-Kyung, et al.. (2019). Peptide Ligation via the Suzuki–Miyaura Cross-Coupling Reaction. The Journal of Organic Chemistry. 85(3). 1376–1384. 10 indexed citations
6.
Lee, Tae-Kyung, Preethi Ravindranathan, Rajni Sonavane, Ganesh V. Raj, & Jung‐Mo Ahn. (2019). A Structure—Activity Relationship Study of Bis-Benzamides as Inhibitors of Androgen Receptor—Coactivator Interaction. Molecules. 24(15). 2783–2783. 6 indexed citations
7.
8.
Goodwin, Justin, Hyunsung Choi, Meng-Hsiung Hsieh, et al.. (2017). Targeting Hypoxia-Inducible Factor-1α/Pyruvate Dehydrogenase Kinase 1 Axis by Dichloroacetate Suppresses Bleomycin-induced Pulmonary Fibrosis. American Journal of Respiratory Cell and Molecular Biology. 58(2). 216–231. 124 indexed citations
9.
Graaf, Chris de, Daniel J Donnelly, Denise Wootten, et al.. (2016). Glucagon-Like Peptide-1 and Its Class B G Protein–Coupled Receptors: A Long March to Therapeutic Successes. Pharmacological Reviews. 68(4). 954–1013. 288 indexed citations breakdown →
10.
Lou, Tzu‐Fang, Patrick Dospoy, Hyun Seok Kim, et al.. (2015). Cancer-Specific Production of N-Acetylaspartate via NAT8L Overexpression in Non–Small Cell Lung Cancer and Its Potential as a Circulating Biomarker. Cancer Prevention Research. 9(1). 43–52. 34 indexed citations
11.
Cho, Yun Sang, Sang‐Eun Lee, Je‐Yoel Cho, et al.. (2015). Short communication: Proteomic characterization of tuberculin purified protein derivative from Mycobacterium bovis. Research in Veterinary Science. 101. 117–119. 9 indexed citations
12.
Lee, Chang, Kyung Min Kim, Seung Woo Kim, et al.. (2015). The first case of the 2015 Korean Middle East Respiratory Syndrome outbreak. SHILAP Revista de lepidopterología. 37. e2015049–e2015049. 28 indexed citations
13.
Roy, Sudipa Saha, Dimple Chakravarty, Valerie Cortez, et al.. (2011). Significance of PELP1 in ER-Negative Breast Cancer Metastasis. Molecular Cancer Research. 10(1). 25–33. 36 indexed citations
14.
Lee, Ji-Hyun, Byung‐Gyu Kim, Jung‐Mo Ahn, et al.. (2010). Role of PI3K on the regulation of BMP2-induced β-Catenin activation in human bone marrow stem cells. Bone. 46(6). 1522–1532. 23 indexed citations
15.
Ahn, Jung‐Mo, Sun-Young Han, Eunice Murage, & Martin Beinborn. (2009). Rational Design of Peptidomimetics for Class B GPCRs: Potent Non-Peptide GLP-1 Receptor Agonists. Advances in experimental medicine and biology. 611. 125–126. 2 indexed citations
16.
Murage, Eunice, et al.. (2008). Search for α-helical propensity in the receptor-bound conformation of glucagon-like peptide-1. Bioorganic & Medicinal Chemistry. 16(23). 10106–10112. 29 indexed citations
18.
Moens, Karen, Daisy Flamez, Peter Huypens, et al.. (2001). Role of locally released glucagon in the insulin secretory response from the intact pancreas. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
19.
Kim, Jung-Man, et al.. (2000). Blood Lead, Manganese, Aluminium and Silicon Concentrations in Korean Adults. Journal of Preventive Medicine and Public Health. 33(2). 157–164. 2 indexed citations
20.
Lee, Chong Suh, et al.. (2000). Effect of low back posture on the morphology of the spinal canal. Skeletal Radiology. 29(4). 217–223. 70 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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